Adolescents: a distinct evidence base exists. The compounds are not approved for routine adolescent obesity but are being studied. Adolescent physiology and psychology differ from adults' in ways that matter for this medication class.
Topic summary
Type 1 diabetes: off-label use and the evidence gap — what changed since
This is a generated summary. It shows the 9 most-liked posts from a topic of 78, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
a.cabrera, post #7: Post #4 put the caveat in the right place and I want to underline it. Worth stating the null on Type 1 diabetes before we explain it: the observation may be nothing. That possibility deserves a sentence and usually does not get one. Go to post
I have three months of notes on Type 1 diabetes and the honest summary is that the trend is real and the week-to-week numbers are noise. I nearly drew the opposite conclusion from the first fortnight.
No disagreement from me. Posting only so the question does not look ignored.
31 likes 20mo
p.mbeki, post #32: Almost every population discussed here was excluded from the pivotal trials, which means the evidence base is observational at best and absent at worst. Speaking for myself and not for anyone else who has posted here. Go to post
Where the Type 1 diabetes reasoning breaks down for me is the step from the group result to the individual case. That step is almost never argued for.
Type 1 diabetes is well covered in the tag pages, and the older discussions are better than the recent ones because they were argued out properly. Worth twenty minutes before adding to this one.
27 likes 20mo
chromatogram, post #26: Dedicated trials in under-studied populations are the only real remedy and several are ongoing, which is worth saying rather than speculating. I would be interested in a counterexample if anyone has one. Go to post
Extrapolating a point estimate to somebody well outside the enrolled range should be described as an extrapolation every time it is done.
k.redgrave, post #42: Athletes and people in substantial training loads are effectively unstudied, and the questions asked here about performance have no trial evidence behind them at all. The literature is thinner on this than the confidence in the thread implies. Go to post
The thing about Type 1 diabetes that took me longest to accept is that a plausible mechanism is not evidence of an effect. It is a reason to look, not a result.
m.dalgaard, post #56: I had written a reply contradicting post #54 and deleted it. Here is what survived. The absence of a reported signal in a population that was barely enrolled is not evidence about that population. Reading it again, the caveat matters more than the finding. Go to post
The arithmetic in post #74 is right; the assumption feeding it is the part to check.
On Type 1 diabetes, the part that usually goes wrong is that the question is asked as though it has one answer. It has a range, and the width of the range is the interesting bit.
If you can post the two or three numbers you are working from, several people here will check the arithmetic rather than argue about the conclusion.
Read the full topic (78 posts)
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